yanglet

6 ms·

31.
ElegantRL: Cloud-Native Deep Reinforcement Learning(github.com)
2 points by yanglet 4y ago|1 comments
32.
by yanglet 4y ago
Distributed RL or Cloud-native RL?
33.
Financial Metaverse FinRL-Meta(openreview.net)
2 points by yanglet 4y ago|1 comments
34.
by yanglet 4y ago
FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning https://github.com/AI4Finance-Foundation/FinRL-Meta
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Financial Metaverse as a Playground for Financial Machine Learning(github.com)
2 points by yanglet 4y ago|1 comments
36.
by yanglet 4y ago
A Universe of Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning. Medium Blog at: https://medium.com/@zx2325/finrl-meta-from-market-environmen...
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ElegantRL: A Lightweight and Stable Deep Reinforcement Learning Library(github.com)
26 points by yanglet 6y ago|2 comments
38.
by yanglet 6y ago
Learn to implement deep reinforcement learning algorithms in 24 hours. The ElegantRL library is featured with “elegant” in the following aspects: Lightweight: core codes have less than 1,000 lines, e.g., tutorial. Efficient: the performance
39.
by yanglet 6y ago
Using reinforcement learning to trade multiple stocks through Python and OpenAI Gym, Presented at ICAIF 2020.
40.
by yanglet 6y ago
A YOuTube video about FinRL: https://www.youtube.com/watch?v=ZSGJjtM-5jA
41.
FinRL: A Deep Reinforcement Learning Library for Quantitative Finance(github.com)
4 points by yanglet 6y ago|2 comments
42.
by yanglet 6y ago
FinRL is the open source library for practitioners. To efficiently automate trading, AI4Finance provides this educational resource and makes it easier to learn about deep reinforcement learning (DRL) in quantitative finance. In quantitative